Deep learning (DL) has been a common thread across several recent techniques for
vulnerability detection. The rise of large, publicly available datasets of vulnerabilities has …

The long-term potential benefits through reduction of cost of services and improvement of
business outcomes make Cloud Computing an attractive proposition these days. To make it …

Software vulnerabilities have been continually disclosed and documented. An important
practice in documenting vulnerabilities is to describe the key vulnerability aspects, such as …

Clouds and Grids offer significant challenges to providing secure infrastructure software. As
part of a our effort to secure such middleware, we present First Principles Vulnerability …

Network scanning is one of the first steps in gathering information about a target before
launching attacks. It is used to scan for vulnerable devices and exposed services in order to …

Researchers are trying to find new ways of finding and pointing out Cybersecurity
vulnerabilities by using innovative metrics. New theoretical proposals need to be tested in a …

Existing security risk evaluation approaches (eg, asset-based) do not consider specific
security requirements of individual cloud computing clients in the security risk evaluation. In …

CVSS score is widely used as the standard-de-facto risk metric for vulnerabilities, to the
point that the US Government itself encourages organizations in using it to prioritize …

The number of threats to cloud-based systems increases and likewise does the demand for
effective approaches to assess and improve security of such systems. The loss …

When a vulnerability is discovered in a system, some key questions often asked by the
security analyst are what threat (s) does it pose, what attacks may exploit it, and which parts …